Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.
| # | Symbol | LTP | Chg % | Upper | Middle | Lower | %B Position | Bandwidth | RSI | Volume | Signal |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LTTOP | 3785.6 | -0.18% | 4214.59 | 3945.34 | 3676.09 |
20.34%
|
13.65%
|
27.68 | 19.94L | — Normal |
| 2 | LTFTOP | 302.4 | -0.87% | 334.42 | 314.29 | 294.16 |
20.47%
|
12.81%
|
32.51 | 28.38L | — Normal |
| 3 | ADANIPORTSTOP | 1768.3 | -0.57% | 1883.54 | 1825.98 | 1768.42 |
-0.1%
|
6.3%
|
30.57 | 16.86L | ● Oversold |
| 4 | POWERGRIDTOP | 288.2 | -0.55% | 291.15 | 285.28 | 279.41 |
74.87%
|
4.12%
|
52.94 | 84.75L | — Normal |
Based on 20-period Bollinger Bands (2σ) on daily candles. Squeeze = bandwidth near 20-session low. · Auto-refresh every 60s during market hours
Bollinger Bands is a popular technical indicator developed by analyst John Bollinger in the 1980s. It consists of three lines plotted around a simple moving average to measure market volatility and identify overbought or oversold conditions.
When the bands widen, volatility is increasing — more trading opportunities. When bands narrow (squeeze), volatility is low and a breakout is likely approaching.